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The data refers to the paper "Urban Forests as Regulating Ecosystems: Types and Ranking of European Cities" The datasets provide a typology for 689 European urban areas, the land cover metrics and landscape metrics used to create the typology and the Urban Forest Ecosystem Services (UFES) indexes created from them. The typology of Urban Forest Ecosystem Services (UFES) presents 10 clusters of cities aggregated into 4 groups: Forest cities, Anthropogenic cities, Herbaceous cities and Standard European cities. The data can be used to support urban planning policies at local and regional scales; in urban forestry, urban form and ecosystem services work related at different spatial scales. The metrics used capture the spatial integration of different layers of natural, semi-natural and artificial land within functional urban areas. The datasets are a csv file (Metrics.csv) and a shapefile (UFES.shp) of polygons with attributes. UFES.shp attributes' are the following: FUA codes, country name, main city name, clusters and groups of FUAs resulting from the hierarchical cluster analysis (HCA), the R color codes used in the article, the five UFES budget indexes as well as an aggregated global UFES index for each FUA. Metrics.csv contains the FUA codes, the land cover and landscape metrics used in the HCA.
Europe, Typology, Functional Urban Area, Urban Atlas 2012, Urban Forest, Ecosystem Services
Europe, Typology, Functional Urban Area, Urban Atlas 2012, Urban Forest, Ecosystem Services
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
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| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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